Low-carbon Transition Research Articles

Mechanisms of Thermal Decomposition in Spent NCM Lithium-Ion Battery Cathode Materials with Carbon Defects and Oxygen Vacancies.

Resource recovery from retired electric vehicle lithium-ion batteries (LIBs) is a key to sustainable supply of technology-critical metals. However, the mainstream pyrometallurgical recycling approach requires high temperature and high energy consumption. Our study proposes a novel mechanochemical processing combined with hydrogen (H2) reduction strategy to accelerate the breakdown of ternary nickel cobalt manganese oxide (NCM) cathode materials at a significantly lower temperature (450 °C). Particle refinement, material amorphization, and internal energy storage are considered critical success factors for the accelerated decomposition of NCM cathode materials. In our proposed approach, NCM cathode materials can develop active sites with carbon defects (Cv) and oxygen vacancies (Ov), which improve the reduction and breakdown of H2. The adsorbed H2 on the surface of NCM decomposes into H* and combines with oxygen to form OH species, which can be facilitated by Ov via the enhanced charge transfer. The introduced Cv can enhance H2 cracking and generate *C-H species to promote the thermal decomposition of NCM. The presence of defects proves to foster the preferential reduction of Mn(IV) by H2, leading to a lower activation energy for the NCM decomposition (from 139 to 110 kJ/mol) with less H2 consumption. Life cycle assessment suggests a reduction of 4.42 kg CO2 eq for the recycling of every 1.0 kg of retired batteries. This study can promote material circularity and minimize the environmental burden of mining technology-critical metals for a low-carbon transition.

Addressing companies’ low-carbon transition challenges requires diversified investments in environmental initiatives

The energy, utilities, industrial, and material sectors are crucial suppliers of essential goods and services, but their business operations are among the largest sources of anthropogenic greenhouse gas emissions. Consequently, companies in these sectors play a pivotal role in the low-carbon transition and face substantial stakeholder pressure to manage their transition risks and reduce their environmental impact. Here, we argue that effective responses to transition challenges require diversifying investments in adaptation and mitigation initiatives across a broad range of activities and goals. Analysing financial and nonfinancial data from a global sample of publicly traded companies, we find that those who extensively diversify their investments are better able to reduce their emissions over time. Diversification also reduces carbon pricing risk, thereby lowering exposure to transition risks, under several climate policy scenarios. Our findings provide empirical evidence that business leaders in critical sectors for the low-carbon transition should incorporate well-diversified investments in adaptation and mitigation initiatives into their sustainability strategies to manage interconnected transition challenges.

A POLYCENTRIC APPROACH TO THE GREEN ENERGY TRANSITION IN BULGARIA

Ostrom’s polycentric model for the governance of social systems has been gaining popularity as an alternative approach to the low-carbon energy transition in recent years. This article considers its potential application to three issues in Bulgaria’s green energy transition: finding substitutes for coal-based electricity production in the Maritsa-East lignite complex, providing new employment opportunities for workers affected by the transition, and understanding the broader social impacts of moving away from the traditional hierarchic model in the energy sector. It is important to note that while polycentric organizing is intended to support low-carbon solutions, it could also serve the interests of coal energy actors, who may prioritize short-term gains over the long-term public interest. Overcoming inertia is a major challenge for adopting the polycentric principle as part of Bulgaria’s industrial policy, particularly in implementing decentralized low-carbon energy solutions.

U.S. Labor and renewable energy: green growth versus the Green New Deal

ABSTRACT In this article, I examine findings from an NSF-funded project on U.S. labor unions’ stance on renewable energy technologies such as wind and solar power, which is neither simple nor well understood. The discourse on energy issues of 11 national-level U.S. unions posted to union websites from 2012 to 2020 was examined and coded using NVivo. While almost all unions in this study were enthusiastic supporters of renewable energy, the reasons for their support were very different, with different implications for the goal of low-carbon energy transition. Unions disagree on issues of ‘just transition,’ and exhibit lines of conflict on four issues: who should lead the energy transition; whether jobs in renewable energy are or could be as good as fossil fuel jobs; whether fossil fuels should be phased out; and whether a just transition necessarily includes transformation of unjust social relations. Union strategies regarding renewable and fossil fuel energy were characterized as ‘Green Growth,’ versus Green New Deal. Examining these contrasting strategies through the lens of theoretical perspectives including ecological modernization, feminist theory, Treadmill of Production theory, and the theoretical perspectives of Gramsci and Polanyi allows labor’s role in energy transition to be better understood while refining sociological theory.

Importance of Eco-Entrepreneurship as a Tool for Climate Action and LowCarbon Transition in Developing Countries: A Case Study of Nigeria

Climate change poses socio-economic, legal and environmental vulnerabilities such as land degradation, biodiversity loss, loss of property and livelihood, increase poverty rate and a threat to public health. These impacts are said to only intensify with projected increase in population and global economic growth. Hence, global consensus advocate for decarbonisation and low carbon transition in all economic sectors as an effective mitigation strategy for climate change. In an attempt to lower carbon emissions, leading cooperation’s and organizations have focused on mitigation projects that regulate activities of cooperate actors and big CO2 emitters such as the oil and gas conglomerates. However, the United Nation Sustainability Development Goals (SDGs) promotes a transformative bottom-up approach to address climate change via localism and citizen participation to educate and train eco-entrepreneurs or ecopreneurs who participate and engage in strategic entrepreneurship projects designed to actively decarbonize economies. These ecopreneurs generate home-grown sustainabilityfocused small and medium scale eco-enterprises (SMEEs), also called energy citizens, ecological citizens, energy communities and co-operatives that can develop sustainable business model innovations, nature-based services and solutions, sustainable business management strategies, technologies and green jobs needed to drive the low carbon transition in key CO2 -emitting economic sectors such as the energy, agriculture, transportation, waste management, food, tourism, building and architecture and fashion industries. This article examines the characteristics, nature and benefits of eco-entrepreneurship as a tool for advancing climate action and low carbon energy transition. Using Nigeria as a case study, a profile of the barriers slowing the growth of eco-entrepreneurship is identified within the PESTEL framework. Furthermore, drawing examples from the U.K. governance landscape and portfolio, recommendations on a transformative yet contextual strategy captured in the five transformative features (diversity, connectivity, polycentricity, redundancy and directionality) are made to interrogate and overcome entrepreneurial ecosystem barriers towards successfully supporting the rapid growth of eco-entrepreneurship.

Green Financing, Energy Transformation, and the Moderating Effect of Digital Economy in Developing Countries

AbstractThe energy sector in many developing nations faces the difficulty of insufficient financing throughout the low-carbon transition, highlighting the importance of international green financing in alleviating financial constraints. The advancement of digital technology could facilitate green financing for energy transition in the digital economy, but this statement lacks empirical evidence. The primary objective of this research is to investigate the impact of international green financing on low-carbon energy transformation in developing nations. Additionally, we investigate the moderating role of digital economy between the two. Our findings validate the favorable impact of international green financing on low-carbon energy transformation, and this impact is particularly evident for hydro and wind energy consumption. We show that this beneficial effect is greater for low-income countries or regions with high levels of energy transition. We also provide evidence of the positive moderation effects of digital economy and find that its effects are still present in the transition to hydro and wind energy. This research helps to broaden green financing channels for the energy sector in developing countries, especially from the perspective of digital economy.

Research on the Strategy for Constructing a Green and Low-Carbon Urban Ecosystem under the Dual-Carbon Strategy: A Case Study of Wenzhou, Zhejiang

Against the backdrop of global climate change and increasing environmental pressures, the dual-carbon strategy has become a significant national policy driving China's green transformation. This paper begins by emphasizing the importance of building a green and low-carbon urban ecosystem under the dual-carbon strategy and addresses key challenges such as immature green and low-carbon technologies, underdeveloped policies and legal frameworks, and a lack of human resources. Strategies proposed include strengthening the research and innovation of green and low-carbon technologies, improving relevant policies and regulations, and accelerating talent cultivation and recruitment. These strategies are validated through the case study of the urban ecosystem construction in Wenzhou, Zhejiang, providing a reference for the low-carbon transition of modern cities in China.

Low-carbon transition or low-carbon trap? — An instrumental variable regression analysis based on carbon decoupling and energy equity

ABSTRACT Although the low-carbon transition has enormous potential for improving economic and environmental benefits, it may also lead to social equity issues, trapping certain regions in a low-carbon dilemma. Based on panel data from the Yangtze River Economic Belt for the period 2007–2019, this study empirically analyzes the impact of carbon decoupling on energy equity, employing the carbon emission trading policy and natural wetlands as joint instrumental variables. The findings reveal that: (1) from 2007 to 2019, the average level of carbon decoupling in the Yangtze River Economic Belt was recorded at 0.415, maintaining a weak decoupling state overall and nearly forming an “inverted V” shape; (2) in the instrumental variable regression results, for every 1% increase in the level of carbon decoupling, the energy equity in the Yangtze River Economic Belt decreased by an average of 0.095% (p < .01); (3) environmental burden played a partial mediating role between carbon decoupling and energy equity, with the mediation effect value being −0.007 (p < .05); (4) green energy consumption and marketization can variably mitigate the adverse effects of carbon decoupling. Examining the sustainability of the economic-environmental system from the perspective of energy equity contributes to shaping a low-carbon economy that maintains social justice and sustainability, thereby avoiding falling into a low-carbon trap.

Examining the role of national governance capacity in building the global low-carbon agricultural supply chains

The majority of related research has traditionally focused on examining the individual influences of national governance capacity and technological innovation on carbon emissions and economic performance, neglecting the effects and influence mechanisms on carbon efficiency within agricultural supply chains, which is not conducive to advancing a low-carbon transition that includes agricultural concerns. This study addresses these gaps by investigating the correlation between national governance capacity (considering voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, rule of law and corruption control) and agricultural supply chain carbon efficiency and investigating the influence mechanism and mediating role of technological innovation. The relevant findings are twofold. 1) The impact of national governance capacity and its components on agricultural carbon efficiency follows an inverted U-shaped curve. 2) Technological innovation can act as a mediator between national governance capacity and select factors of voice and accountability, government effectiveness and regulatory quality to enhance agricultural supply chain carbon efficiency. The findings offer valuable insights for policymakers and managers in agricultural supply chain enterprises seeking to transition towards low-carbon agriculture.

Stranded Asset Impairment Estimates of Thermal Power Companies Under Low-Carbon Transition Scenarios

The aspiration to reach the net zero carbon target has initiated new ideas for the sustainable development of the world economy. However, it has also accelerated the formation of stranded assets in high-carbon-emitting companies. Taking a Chinese thermal power company as an example, this paper proposes a model to estimate the degree of impairment loss for thermal power companies by integrating the net present value model with forward-looking carbon emission pathways under different policy intervention scenarios. The results show that under the low-carbon transition scenario with different policy interventions, the percentage of impairment loss of thermal power companies reaches up to 64.09%. Furthermore, impairment losses formed by stranded assets in the thermal power sector impose a severe shock on the national economy, as most of the impairment losses will ultimately be borne by the state treasury. Compared with conventional thermal power generation, new-energy power generation has a weak performance in delaying company bankruptcy caused by stranded assets. Therefore, in the process of a low-carbon transition, governmental departments should focus on the impairment loss of thermal power companies caused by stranded assets and should further integrate “green support” and “brown punishment” policies to effectively promote the low-carbon transition of thermal power companies.

Implementing the Circular Economy in the European Union and Spain: Links to the Low-Carbon Transition

This paper reviews and analyzes the process of the implementation of the circular economy in the European Union (EU) and Spain, and its links to the low-carbon transition. The EU implementation of the circular economy went through several stages. Since the adoption of the first action plan in 1993, the links between the circular economy and carbon transition goals have become intertwined. Recently, the EU approved the framework of new monitoring measures and indicators for the circular economy. The adopted actions have involved the adaptation of European legislation at the national level. Spain has participated in this process since 2017, when the Circular Economy Pact was signed. The subsequent approval of the Spanish Strategy for a Circular Economy in 2020 was developed, considering a close relationship between decarbonization and the circular economy. Lately, the circular economy implementation has been strengthened with the strategic project for economic recovery and transformation, linked to the recovery of COVID-19, and the roadmap for the sustainable management of mineral raw materials, with both documents including actions directly related to transforming the energy system. Data show that Spain has made significant improvements in the circular economy transition. However, Spain’s vulnerability to externalities is greater than that of the EU as a whole.

Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt

The Chinese government has adopted a significant low-carbon transition strategy aimed at enhancing resource efficiency, advancing ecological conservation, and augmenting societal well-being. This research employs the super efficiency SBM model to evaluate the ecological well-being performance (EWP) within the Huaihe River Ecological Economic Belt. Subsequently, it employs the Sys-GMM model and conducts a threshold effect analysis to regressively examine the impact of the low-carbon transition on EWP. The key findings are as follows. The EWP in the Huaihe River Ecological Economic Belt is relatively low; cities with higher economic development levels tend to exhibit lower EWP scores. The impact of the low-carbon transition on EWP is contingent upon the level of regional economic development and exhibits a singular threshold effect predicated on the economic development level as the threshold variable. Specifically, when economic development is at a low level, an intensification of the low-carbon transition results in a decline in EWP within the Huaihe River Ecological Economic Belt. Conversely, when the economic development level surpasses the threshold, the low-carbon transition facilitates the enhancement of EWP. This study’s principal contribution lies in elucidating the intricate relationship between the low-carbon transition and sustainable development.

Modeling Nuclear-Centric Scenarios for Ukraine’s Low-Carbon Energy Transition Using Diffusion and Regression Techniques

This study presents a mathematical model for forecasting the development of Ukraine’s Integrated Power System (IPS) until 2040, with a specific focus on the expansion of nuclear energy as a cornerstone of the nation’s low-carbon transition. The model is an extension of Frank Bass’s mixed influence diffusion model, incorporating both economic and technological factors. These factors are treated as stochastic variables essential for accurately predicting the evolution of an integrated energy system, particularly in the context of rapid renewable energy sources (RES) growth. The model employs regression techniques using generalized logistic curves, improving forecasting efficiency by aligning modeling parameters with experimental data. The study’s results indicate the potential for optimizing IPS components, including nuclear and thermal power generation, through the model’s application. The model is distinguished by its inclusion of economic and technological impacts, such as state matrices, control actions, and external influence matrices, which enhance the accuracy of simulations and predictions. The validation of the model, based on scenarios of electricity consumption and generation, shows significant alignment with observed trends, confirming the model’s reliability. The findings suggest that this model is an effective tool for developing and refining energy system scenarios, with nuclear energy playing a pivotal role in Ukraine’s sustainable energy future.

Multi-stage planning of clean resources and energy storage assets with hybrid uncertainty modeling for low-carbon resilient distribution systems

Climate change drives the urgent need for low-carbon and resilient energy system transitions. However, current planning methods ignore the inherent conflicts between carbon emission reduction and resilience enhancement, failing to optimally balance asset allocation for both aspects. They also neglect the long-term dynamic and stochastic nature of transitions, exposing systems to hybrid uncertainties. This paper presents a multi-stage dynamic planning method for clean resources and energy storage assets in power distribution networks. First, to facilitate low-carbon and resilient transitions, adaptive, stage-wise planning decisions are optimally determined under various planning strategies to mitigate risks stemming from hybrid uncertainties. Second, to precisely quantify the impact of hybrid uncertainties on decision-making, a systematic hybrid-uncertainty modeling approach is designed to capture short- and long-term uncertainties arising from both exogenous and endogenous factors. Third, to alleviate computational complexity, a decomposition-based stochastic dynamic dual integer programming method with augmented cut generation is introduced, which decomposes the original problem into stage-wise subproblems coordinated through forward and backward steps. Numerical results show that the proposed method generates cost-effective planning schemes, yielding $60 K in savings and reducing carbon emissions by 3853 tons. The method also demonstrates strong scalability, with a 52% reduction in solution time for large-scale planning problems.

Urban-scale power decarbonization using a modified power purchase agreements framework based on Markowitz mean-variance theory

Urban power decarbonization is essential in the fight against climate change, yet current research often neglects the financial risks faced by investors and the shifting demands of consumers in liberalized electricity markets. This study addresses these gaps by proposing a modified Markowitz Mean-Variance Portfolio (MVP) theory, integrated with the Low Emissions Analysis Platform (LEAP), and a deep learning model. On this basis, an urban energy transition framework centered on Power Purchase Agreements (PPAs) is proposed and developed. The framework is validated considering a case study in Kitakyushu, Japan, highlighting its potential in accelerating power sector decarbonization and achieving net-zero emissions by 2038. Additionally, the internal rate of return (IRR) remains stable between 14.5 % and 19.6 % across seven other cities. While the framework reduces long-term cash flow volatility, its effectiveness hinges on industrial electrification efficiency and regional energy self-sufficiency. The findings indicate that relying solely on renewable energy for low-carbon transitions is unrealistic. Furthermore, green hydrogen could emerge as a viable alternative to fossil fuels, potentially replacing batteries for long-term energy storage. Future research should explore cross-regional energy trade and establish legal frameworks for long-term energy transactions to bolster urban energy transition resilience across diverse geographic and economic contexts.

Take a hike: Spatializing allemannsretten and transportation accessibility for outdoor recreation in the Greater Stavanger Region, Norway

ABSTRACT A special connection between people and their environment is legally recognized in Norway as Allemannsretten, the right to enjoy a large part of Norwegian nature. Scholarship on leisure mobility, spatial planning, and transport geography recognizes the intrinsic value of this spatial connection. As people travel for outdoor recreation, equitable access to recreation is a goal for just transport systems and must be achieved as these systems are digitalized and electrified for low-carbon transitions. The aim of the article is to identify the impact of transportation accessibility on outdoor recreation habits in the Greater Stavanger Region, Norway’s third-largest metropolitan region. With car-centric development since the 1970s and ambitious automobility-reduction targets, transportation accessibility for outdoor recreation is a key indicator of challenges to overcome in mobility transitions, yet features marginally in public debate. In focusing on popular outdoor day trips and based on multisited interviews with both car owners and non-owners, the authors identify oversights in accessibility, spatializing the issue of local destinations in relation to urban transport transition. They conclude that policymakers must address specific gaps to make transport systems desirable and inclusive, and that a spatial lens can be used to problematize and advance just low-carbon transitions.

A systematic review of decarbonization pathway and modeling conception in iron and steel industry at micro-, meso-, and macro-levels.

To meet the carbon-neutral goal in 2050, an accelerated transition of decarbonization is needed in the iron and steel industry. Lots of decarbonization path models are recently being used to analyze the technology pathways, industrial structure adjustments, and short- or long-term policies for greenhouse gas emission reduction. Thus, systematic insight is required for better making sense of the status quo and differences in low-carbon transition pathways at different levels. This paper reviews the carbon emission reduction of steel production routes and summarizes the decarbonization models from micro-, meso-, and macro-level perspectives, respectively. First, we systematically analyze the capacity and potential of both available and emerging technologies in the iron and steel production process. Additionally, we conduct a theoretical analysis of the bottom-up models currently used as effective tools to assess decarbonization technology pathways. Subsequently, pathways and models in terms of industrial synergy are elaborated. Policy guidance and market support are explored to overcome the challenges of collaborative carbon reduction faced by global steel producers. The characteristics of top-down models for supporting carbon reduction are also discussed. Finally, gaps in the literature and future research agendas are identified. Advancing this research could enrich discussions on steel industry decarbonization and provide clearer assessments of modeling approaches. The results indicate that existing energy-saving technologies in the iron and steel industry have limited carbon reduction capacity. Significant reduction requires coordinated efforts with upstream and downstream industries, particularly in hydrogen and power sectors, along with financial support and favorable policies.

Off-grid PV/biomass/DG/battery hybrid renewable energy as a source of electricity for a farm facility

Reliable, cost-effective energy systems are pivotal for sustainable development in the agricultural sector. Using the energy balance analysis of the Hybrid Optimization Model for Electric Renewable (HOMER), this study presents a techno-economic assessment of a hybrid renewable energy system for a farm facility. The energy system components considered in the analysis include solar photovoltaics, wind turbines, diesel generators, biomass, and battery storage. The results shows that ten feasible energy systems can technically power the typical farm facility, with a PV-Biomass-DG battery being the best in terms of the total net present cost. The PV-Biomass-DG-battery systems consist of 561.023 kW of PV, 88 kW of diesel generator, 10 kW of biomass, 81 kW of converter, and 584 batteries operated in a load-following mode. When the cost of energy (COE) of EA1 0.206325 $/kWh is compared to EA7 0.407681 $/kWh, a difference of $0.201356 will be saved for every kWh. Also, a comparison of the operating cost of EA1, $65,713.23 and the operating cost of EA7 $212,027.4 showed a margin of $146,314.17 being saved. Energy systems EA3 and EA4 had the lowest carbon dioxide production levels of 15.8 kg annually, respectively. The simple payback period metrics increased from EA1 to EA6 between 2.97 years to 6.99 years. The result of the study shows that adopting a low-carbon energy transition is technically and economically viable for the agricultural sector, especially in developing countries.

GERICS supporting climate-resilient wind energy sites

GERICS supporting climate-resilient wind energy sites Dr. Irem Isik Cetin and Dr Elke Keup-Thiel offer expert insights on how GERICS supports the climate-resilient development of wind energy sites. Since the oil crisis in 1973, the use of modern wind turbines has clearly grown. By 2023, the installed capacity of wind energy globally surpassed 1 terawatt (TW). (1) With low costs and high emission reduction potential (2), wind energy has emerged as one of the most promising options for moving towards a low-carbon energy transition. For this reason, after COP28, more than 200 countries aimed to triple renewable energy capacity.

The impact of digital economy on low-carbon transition: What is the role of human capital?

With the global increasingly higher requirements for sustainability, it is of great importance to understand the relationships between the digital economy, human capital, and energy transition becomes crucial, especially in China, the world's largest emitter of greenhouse gases. Using data from 30 provinces between 2012 and 2021, this paper explored the influence of digitalization and human capital on China's low-carbon transition by means of advanced econometric techniques, including dynamic panel models and robustness checks. Our findings revealed that the digital economy significantly enhanced energy efficiency, with human capital acting as a key moderating factor. The analysis highlighted that the higher level of digital infrastructure and skilled labor a region has, the more it would benefit from digitalization in terms of energy efficiency. The results underscore the need for region-specific policies that simultaneously promote digital innovation and human capital development to align China's environmental sustainability goals with its economic growth in the digital era.